Miscellaneous collection of Python and R scripts for processing Iso-Seq data
CUDA implementation of the Jacobi method
python 3 pytorch implementation of DANN
A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance
A collection of implementations of deep domain adaptation algorithms
This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
A few examples of how to link Linux shared libraries with secondary dependencies
MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.
Cancer metastasis detection with neural conditional random field (NCRF)
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Reformer, the efficient Transformer, in Pytorch
Tools (written in C using htslib) for manipulating next-generation sequencing data
scikit-learn: machine learning in Python
Implementation of Siamese Networks for image one-shot learning by PyTorch, train and test model on dataset Omniglot
Structural variation caller using third generation sequencing
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf